Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL

Lucía Gómez ÁlvarezLucía Gómez Álvarez, Sebastian RudolphSebastian Rudolph, Hannes StraßHannes Straß

Lucía Gómez Álvarez, Sebastian Rudolph, Hannes Straß
Tractable Diversity: Scalable Multiperspective Ontology Management via Standpoint EL
Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, 3258-3267, 2023. ijcai.org

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KurzfassungAbstract
The tractability of the lightweight description logic EL has allowed for the construction of large and widely used ontologies that support semantic interoperability. However, comprehensive domains with a broad user base are often at odds with strong axiomatisations otherwise useful for inferencing, since these are usually context dependent and subject to diverging perspectives. In this paper we introduce Standpoint EL, a multi-modal extension of EL that allows for the integrated representation of domain knowledge relative to diverse, possibly conflicting standpoints (or contexts), which can be hierarchically organised and put in relation to each other. We establish that Standpoint EL still exhibits EL's favourable PTime standard reasoning, whereas introducing additional features like empty standpoints, rigid roles, and nominals makes standard reasoning tasks intractable.
Projekt:Project: DeciGUT, KIMEDS, ScaDS.AI
Forschungsgruppe:Research Group: Computational LogicComputational Logic

@inproceedings{{RS2023,
  author    = {Luc{\'{\i}}a G{\'{o}}mez {\'{A}}lvarez and Sebastian Rudolph and
               Hannes Stra{\ss}},
  title     = {Tractable Diversity: Scalable Multiperspective Ontology
               Management via Standpoint {EL}},
  booktitle = {Proceedings of the 32nd International Joint Conference on
               Artificial Intelligence, {IJCAI} 2023},
  publisher = {ijcai.org},
  year      = {2023},
  pages     = {3258-3267},
  doi       = {10.24963/ijcai.2023/363}
}